Data Analyst

Job Summary

The Data Analyst is required to Data capture, data cleaning, data preparation, data management and data analysis and interpretations required by the Business. Handle data factory with precision and confidentiality. The role is crucial for providing actionable insights to improve teaching quality, enhance student performance, optimize business operations, and drive growth.

Essential Job Responsibilities

Academic Data Analysis

• Analyze student performance data from internal assessments, mock tests, and board exams.
• Identify trends in subject-wise performance, batch-wise progress, and dropout patterns.
• Generate reports to assist academic heads in making data-driven interventions.
• Predict outcomes of upcoming competitive exams (JEE/NEET) based on historical data.
  
  

Business & Marketing Intelligence

• Monitor enrollment trends, inquiry-to-admission conversions, and campaign ROI.
• Provide insights into market behavior, location-wise performance, and competitor benchmarking.
• Analyze fee structures, discounts, and scholarship schemes for profitability and optimization.
  
  

Operational & Centre Efficiency

• Evaluate the performance of branches/centres using KPIs like retention rate, attendance, student satisfaction, and staff productivity.
• Support planning for new center openings with predictive enrollment data and location-based analytics.
  
  

Technology & Automation

• Build and maintain dashboards using BI tools (Power BI, Tableau, Excel, Google Data Studio).
• Work closely with IT or CRM teams to ensure data accuracy and integrity across systems.
• Automate regular reporting processes to reduce manual workload.
  
  

Strategic Decision Support

• Support senior management with forecasting models, statistical reports, and scenario simulations.
• Present insights in the form of structured reports, visual dashboards, or presentations.
  
  

Supervisory Responsibilities

Number of subordinate supervisors reporting to this job

N/A

Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors

N/A

Job Qualifications

Education

• Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or related field.
  
  

Experience

• Must be a highly-skilled with 3+ years of experience.
• Demonstrate ability to successfully process all work types
  
  

Knowledge / Skills

• Analytical skills & Critical Thinking
• Data Visualization
• Microsoft Excel, VBA, R , Python, Tableau, Power BI
• Efficient in AI powered Data analysis tools
  
  

Licenses / Certifications

• Data Analytics desirable
  
  

Working Conditions

Virtual environment, extended length of time in sitting position, medium stress environment

Physical Demands

N/A

Skills:- MS-Excel, PowerBI, Excel VBA, Python and Tableau